settings allowed users to test upcoming sensors, such as the AWS EBS v2 FortiGate System Statistics Modern Web Interface & API:
Result: Error. Command timeout.
: It supports diverse technologies including SNMP for hardware stats, Flow (NetFlow, sFlow) for traffic analysis, and WMI for Windows-specific metrics.
Rather than relying entirely on defaults, tune the scanning intervals for your most critical devices to balance accuracy and network load.
| Metric | PRTG 20.x | PRTG 21.0.x | |--------|-----------|--------------| | Avg. sensor execution time | 1.2 sec | 0.9 sec | | Core server CPU usage (peak) | 32% | 27% | | Remote probe memory (Linux) | 380 MB | 340 MB | prtg network monitor 21.0.x
: New sensor channels can calculate differences between values (Delta), useful for monitoring metrics like power consumption.
Give you for the SNMP Printer sensor.
Monitoring hybrid environments became more precise in 21.0.x through updated sensor APIs for major cloud providers and virtualization vendors:
WMI checks require significantly more CPU power from both the Core Server and the target machine. Where possible, use WinRM or SNMP on Windows machines instead of traditional WMI sensors. settings allowed users to test upcoming sensors, such
Set explicit timeouts within the script to prevent hung processes from consuming probe memory. Custom Lookups
Recognizing the need for comprehensive hardware monitoring, the was introduced. This sensor provides deeper insights into printing infrastructure, including: Total Pages Printed: Accurate tracking of usage. Cover Status: Real-time alerting for open printer covers. Tray Status: Monitoring paper tray levels. Supply Status: Tracking toner and ink levels.
Supports NetFlow (v5/v9), IPFIX, sFlow, and J-Flow to analyze bandwidth utilization and detect traffic anomalies.
To maintain peak performance as your infrastructure scales, implement these optimization strategies: 1. Smart Sensor Selection Rather than relying entirely on defaults, tune the
Here is comprehensive content regarding , structured for a technical overview, release notes summary, or administrative guide.
No tool is without its challenges. Users of PRTG 21.0.x noted that while the core was stable, the remained clunky. Generating a monthly SLA report for 5,000 sensors often required exporting data to CSV and reformatting in Excel or a third-party BI tool. Additionally, the licensing cost for large deployments (tens of thousands of sensors) could become prohibitive compared to open-source alternatives like Zabbix or Prometheus, though PRTG’s all-in-one simplicity often justifies the price for SMBs and mid-market enterprises.
PRTG does not require external SQL databases. It utilizes an internal, highly optimized data store tailored for time-series monitoring data. This eliminates licensing overhead and simplifies disaster recovery processes. 3. Key Features and Enhancements in 21.0.x